Rekha Singhal

Orcid: 0000-0002-3712-1784

According to our database1, Rekha Singhal authored at least 69 papers between 2007 and 2024.

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Bibliography

2024
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation.
CoRR, 2024

Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers.
Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis.
Comput. Biol. Medicine, December, 2023

VADF: Versatile Approximate Data Formats for Energy-Efficient Computing.
ACM Trans. Embed. Comput. Syst., October, 2023

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.
CoRR, 2023

GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

GEMS: Generating Efficient Meta-Subnets.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

TPFNet: A Novel Text In-painting Transformer for Text Removal.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Multi-Objective Workflow Scheduling to Serverless Architecture in a Multi-Cloud Environment.
Proceedings of the IEEE International Conference on Cloud Engineering, 2023

mSIRM: Cost-Efficient and SLO-aware ML Load Balancing on Fog and Multi-Cloud Network.
Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023

Accelerating Model Training: Performance Antipatterns Eliminator Framework.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Scalable High-Performance Architecture for Evolving Recommender System.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Multicloud Deployment of AI Workflows Using FaaS and Storage Services.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

SIRM: Cost efficient and SLO aware ML prediction on Fog-Cloud Network.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing.
Proceedings of the IEEE International Conference on Big Data, 2023

DAFTA: Distributed Architecture for Fusion-Transformer training Acceleration.
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2023

2022
MAPLE: Model Aggregation and Prediction for Learned Ecosystem.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Pay-as-you-Train: Efficient ways of Serverless Training.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

Benchmarking the Data Layer Across Serverless Platforms.
Proceedings of the HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, 2022

Scalable and Cost-effective Serverless Architecture for Information Extraction Workflows.
Proceedings of the HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, 2022

MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Hetero-Vis: A Framework for Latency Optimized Heterogeneous Deployment of Convolutional Neural Networks.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

Learning-to-learn efficiently with self-learning.
Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

MetaFaaS: learning-to-learn on serverless.
Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

Metamodel driven acceleration of actor-based simulation.
Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations.
Proceedings of the Second International Conference on AI-ML Systems, 2022

Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA.
Proceedings of the Second International Conference on AI-ML Systems, 2022

2021
Accelerating Gradient-based Meta Learner.
CoRR, 2021

Experience with PCIe streaming on FPGA for high throughput ML inferencing.
CoRR, 2021

Performance and Cost Comparison of Cloud Services for Deep Learning Workload.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

RUSLI: Real-time Updatable Spline Learned Index.
Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

Distributed training for accelerating metalearning algorithms.
Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2021

SLA-aware Workload Scheduling Using Hybrid Cloud Services.
Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

Data-Efficient Training of High-Resolution Images in Medical Domain.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

High Performance Serverless Architecture for Deep Learning Workflows.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Benchmarking of Quantization Libraries in Popular Frameworks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Towards Accelerating Offline RL based Recommender Systems.
Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020
Tutorial on Benchmarking Big Data Analytics Systems.
Proceedings of the Companion of the 2020 ACM/SPEC International Conference on Performance Engineering, 2020

A Vision on Accelerating Enterprise IT System 2.0.
Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

Recommending in changing times.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Migrating Large Deep Learning Models to Serverless Architecture.
Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

Benchmarking performance of RaySGD and Horovod for big data applications.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Efficient Multiway Hash Join on Reconfigurable Hardware.
Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

Polystore++: Accelerated Polystore System for Heterogeneous Workloads.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Fast Online 'Next Best Offers' using Deep Learning.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
SPARK Job Performance Analysis and Prediction Tool.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

ABench: Big Data Architecture Stack Benchmark.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

ATA: Architecture-based technology advisor for functional application domains.
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

2017
SQL Query Volume Performance Estimation Tool.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Technology Migration Challenges in a Big Data Architecture Stack.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Performance Assurance Model for Applications on SPARK Platform.
Proceedings of the Performance Evaluation and Benchmarking for the Analytics Era, 2017

2016
Model Driven Software Performance Engineering: Current Challenges and Way Ahead.
SIGMETRICS Perform. Evaluation Rev., 2016

Tutorial on Challenges for Big Data Application Performance Tuning and Prediction.
Proceedings of the Companion Publication for ACM/SPEC on International Conference on Performance Engineering, 2016

Predicting Job Completion Time in Heterogeneous MapReduce Environments.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Predicting SQL Query Execution Time for Large Data Volume.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution.
Proceedings of the DATA 2016, 2016

2015
PABS 2015: 1st Workshop on Performance Analysis of Big Data Systems.
Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, TX, USA, January 31, 2015

Performance Assurance Model for HiveQL on Large Data Volume.
Proceedings of the 22nd IEEE International Conference on High Performance Computing Workshops, 2015

2014
Performability Comparison of Lustre and HDFS for MR Applications.
Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering Workshops, 2014

2013
Measurement Based Model to Study the Affect of Increase in Data Size on Database Query Response Time.
Proceedings of the 39. International Computer Measurement Group Conference, 2013

2012
A Framework for Predicting Query Response Time.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2010
Enterprise Storage Architecture for Optimal Business Continuity.
Proceedings of the International Conference on Data Storage and Data Engineering, 2010

A national public healthcare framework using grid.
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

2007
On Use of Operation Semantics for Parallel iSCSI Protocol.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007


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